Research Assistant

Automate the workflow of enriching Bear research notes with topical GIFs.

Prerequisites

• Bear app running with a valid API token (~/.config/grizzly/token)
• grizzly CLI installed
• gifgrep skill available (for GIF search)

Workflow

1. Fetch notes — List all notes with the 待整理 tag:

```bash

grizzly open-tag --name "待整理" --enable-callback --json --token-file ~/.config/grizzly/token

```

1. For each note:

a. Read the note content via grizzly open-note --id --enable-callback --json.

b. Extract 2–3 topic keywords from the title and key-findings sections.

c. Search for a relevant GIF using gifgrep (or web_search + web_fetch for a GIF URL) with those keywords.

d. Append the GIF as markdown to the note's "Supporting Media" section:

```bash

echo '!topic' | grizzly add-text --id --mode append --token-file ~/.config/grizzly/token

```

e. Remove the 待整理 tag by replacing tags (exclude 待整理, keep all others).

1. Report — Summarize which notes were processed and how many GIFs were inserted.

Notes

• If a note already has content in "Supporting Media", insert the GIF on a new line below existing media.
• If no relevant GIF is found, skip insertion and note it in the report.
• Prefer GIFs that visually represent the research topic (e.g., data visualization, concept animation).
• The 待整理 tag signals "needs processing"; removing it marks the note as finalized.